🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
See the code
A complete unstructured data solution: ETL processing, AI-readiness, open-source LLM hosting, and RAG capabilities in one powerful platform.
Follow the installation steps below or documentation for more details to build versatile AI applications locally.
Instill Core is an end-to-end AI platform for data, pipeline and model orchestration.
🔮 Instill Core simplifies infrastructure hassle and encompasses these core features:
See Examples for more!
| Operating System | Requirements and Instructions |
|---|---|
| macOS or Linux | Instill Core works natively |
| Windows | • Use Windows Subsystem for Linux (WSL2) • Install latest yq from GitHub Repository• Install latest Docker Desktop and enable WSL2 integration (tutorial) • (Optional) Install cuda-toolkit on WSL2 (NVIDIA tutorial) |
| All Systems | • Docker Engine v25 or later • Docker Compose v2 or later • Install latest stable Docker and Docker Compose |
Execute the following commands to pull pre-built images with all the dependencies to launch:
git clone -b v0.58.1 https://github.com/instill-ai/instill-core.git && cd instill-core
# Launch all services
make run
That's it! Once all the services are up with health status, the UI is ready to go at http://localhost:3000. Please find the default login credentials in the documentation.
To shut down all running services:
make down
Visit the Deployment Overview for more details.
Please visit our official documentation for more.
Additional resources:
We welcome contributions from our community! Checkout the methods below:
Cookbooks: Help us create helpful pipelines and guides for the community. Visit our Cookbook repository to get started.
Issues: Contribute to improvements by raising tickets using templates here or discuss in existing ones you think you can help with.
We are committed to maintaining a respectful and welcoming atmosphere for all contributors. Before contributing, please read:
Get help by joining our Discord community where you can post any questions on our #ask-for-help channel.
See the LICENSE file for licensing information.
1,722 followers · starred Nov 2024
183 followers · starred Nov 2022
51 followers · starred Nov 2022
241 followers · starred Feb 2024
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
See the code
A complete unstructured data solution: ETL processing, AI-readiness, open-source LLM hosting, and RAG capabilities in one powerful platform.
Follow the installation steps below or documentation for more details to build versatile AI applications locally.
Instill Core is an end-to-end AI platform for data, pipeline and model orchestration.
🔮 Instill Core simplifies infrastructure hassle and encompasses these core features:
See Examples for more!
| Operating System | Requirements and Instructions |
|---|---|
| macOS or Linux | Instill Core works natively |
| Windows | • Use Windows Subsystem for Linux (WSL2) • Install latest yq from GitHub Repository• Install latest Docker Desktop and enable WSL2 integration (tutorial) • (Optional) Install cuda-toolkit on WSL2 (NVIDIA tutorial) |
| All Systems | • Docker Engine v25 or later • Docker Compose v2 or later • Install latest stable Docker and Docker Compose |
Execute the following commands to pull pre-built images with all the dependencies to launch:
git clone -b v0.58.1 https://github.com/instill-ai/instill-core.git && cd instill-core
# Launch all services
make run
That's it! Once all the services are up with health status, the UI is ready to go at http://localhost:3000. Please find the default login credentials in the documentation.
To shut down all running services:
make down
Visit the Deployment Overview for more details.
Please visit our official documentation for more.
Additional resources:
We welcome contributions from our community! Checkout the methods below:
Cookbooks: Help us create helpful pipelines and guides for the community. Visit our Cookbook repository to get started.
Issues: Contribute to improvements by raising tickets using templates here or discuss in existing ones you think you can help with.
We are committed to maintaining a respectful and welcoming atmosphere for all contributors. Before contributing, please read:
Get help by joining our Discord community where you can post any questions on our #ask-for-help channel.
See the LICENSE file for licensing information.
1,722 followers · starred Nov 2024
183 followers · starred Nov 2022
51 followers · starred Nov 2022
241 followers · starred Feb 2024